Intrusion detection system based on wavelet cluster algorithm
Yun Li, Xuecheng Liu · 2014
This paper puts forward a kind of intrusion detection algorithm based on wavelet cluster, this algorithm consists of quantify the eigenvector dimension, wavelet transform, clustering, build the lookup table, and detecting the intrusion behavior according to certain proportion parameter. The experiment result proves that the results are not affected by noise and the method is not sensitive to the order of input objects to be processed, and a priori knowledge about the exact number of cluster is not required in wavelet cluster, this method can effectively enhance the detection rate and reduce the false alarm rate.